Kevin Junliang LIM

Affiliations

Adjunct Assistant Professor, NUS Department of Biochemistry and Synthetic Biology Translational Research Programme

Biography

Kevin is a Big Data Analytics Team Lead at Wilmar International, breaking down complex industry problem statements into appropriate computational solutions. His team currently focuses on machine-learning-assisted analysis of food products, clinical nutrition and plant precision agriculture. He currently holds 11 granted patents and has published more than 20 scientific papers in high-impact journals.

Professional Appointments

Senior Wilmar Fellow and Lead Scientist, Wilmar International Limited, Singapore

Education

Ph.D. Computer Science, National University of Singapore

Research Interest

Artificial Intelligence
Machine learning
Optimization
Multi-omics
Genome wide association study

Current Research Projects

Oil palm precision agriculture
Computational optimization of food products
Computer vision in hyperspectral imaging
Microbiome of food fermentation and human gut health
Deep learning to predict edible oil and food quality

Selected Publications

1. ZNF395 Is a Hypoxia-Responsive Regulator of Mitochondrial Glutaminolysis in Clear Cell Renal Cell Carcinoma.
   Cancer Res 2026 Feb 4:OF1-OF14.
2. The Effects of Soy Protein–Rich Meals on Muscle Health of Older Adults Are Linked to Gut Microbiome Modifications.
   J Cachexia Sarcopenia Muscle. 2026 Feb;17(1):e70212.
3. A legume-enriched diet improves metabolic health in prediabetes mediated through gut microbiome: a randomized controlled trial.
   Nat Commun. 2025 Jan 22;16(1):942
4. EmT: A Novel Transformer for Generalized Cross-Subject EEG Emotion Recognition.
   IEEE Trans Neural Netw Learn Syst. 2025 Jun;36(6):10381-10393.
5. Effect of an Asian-adapted Mediterranean diet and pentadecanoic acid on fatty liver disease: the TANGO randomized controlled trial.
   Am J Clin Nutr. 2024 Mar;119(3):788-799.
6. Highly recurrent CBS epimutations in gastric cancer CpG island methylator phenotypes and inflammation.
   Genome Biol. 2021 Jun 1;22(1):167. doi: 10.1186/s13059-021-02375-2.
7. Pattern recognition based on machine learning identifies oil adulteration and edible oil mixtures.
   Nat Commun. 2020 Oct 23;11(1):5353.
8. The draft genome of tropical fruit durian (Durio zibethinus).
   Nat Genet. 2017 Nov;49(11):1633-1641.
9. VHL Deficiency Drives Enhancer Activation of Oncogenes in Clear Cell Renal Cell Carcinoma.
   Cancer Discov. 2017 Nov;7(11):1284-1305.
10. Epigenomic profiling of primary gastric adenocarcinoma reveals super-enhancer heterogeneity.
    Nat Commun. 2016 Sep 28;7:12983.

* Corresponding author; # Co-first author